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Go Experts in Frankfurt

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Hire experts who build fast APIs, background services, and cloud-native systems with Go, Gorilla, Gin, and Kubernetes. Get precise matching with vetted, available freelancers who can join remote or on-site work in Frankfurt.

Meet FRATCH Experts in Frankfurt, who have recently used Go

Verified expert

Prasad Tilloo

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Solution Architect / Senior Manager – DTC E-Commerce Platform

Frankfurt
Prasad Tilloo

Last position:

Solution Architect / Senior Manager – DTC E-Commerce Platform at BRITA

  • Led discovery phase and POC for Shopware to Shopify Plus migration across EMEA markets, evaluating platform suitability, technical architecture, and multi-brand/multi-country capabilities against business requirements.
  • Designed reference architecture for Shopify Plus implementation incorporating headless front-end patterns (Vue.js, Nuxt.js), CMS integration (Magnolia), and Azure middleware (APIM, Functions, Logic Apps, Service Bus) for 11 EMEA markets.
  • Defined migration strategy analyzing data mapping, cutover approach, and zero-downtime deployment patterns using Varnish caching, GitOps pipelines, and CI/CD orchestration across six vendor teams.
  • Architected multi-tenant Shopify Plus governance model with centralized admin, localized storefront customization, and compliance controls (GDPR, data residency).
  • Prototyped AI-driven search optimization (LLM.txt, JSON-LD) for product discoverability in Google AI results, demonstrating post-launch performance opportunities.
  • Defined EMEA expansion roadmap for 15+ markets through C-level strategic workshops, identifying phased rollout, market-specific configurations, and resource requirements.
  • Tech Stack: React, Nuxt.js, Vue.js, Magnolia CMS, Shopware, Shopify Plus, Azure (APIM, Functions, Logic Apps, Service Bus, Front Door), Varnish, SAP, MS Dynamics, Docker, Kubernetes, GitHub Actions, PostgreSQL, Kafka
Verified expert

Noel Lang

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Founder & Lead Engineer

Frankfurt
Noel Lang

Last position:

Founder & Lead Engineer at ausbildung-in-der-it.de

  • Platform established and running stably; deliberately reducing my involvement to refocus on an engineering mandate in the financial sector.
  • Built an own SaaS learning platform from the ground up and scaled it to over 20,000 users (over 6,000 courses sold, B2C and B2B); end-to-end ownership from development through infrastructure to operations.
  • Built a lab environment that provisions an isolated Linux container per user (Docker, Traefik, Go), including automatic provisioning and a dedicated subdomain per user.
  • Integrated LLM features into the product and accelerated development end-to-end with AI-assisted workflows (Claude Code, Codex); CI/CD with automated tests.
Verified expert

Anthony Mugwang'a

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CodeValdCortex - Enterprise Multi-Agent AI Orchestration Platform

Frankfurt
Anthony Mugwang'a

Last position:

CodeValdCortex - Enterprise Multi-Agent AI Orchestration Platform at Personal Project

  • Enterprise-grade multi-agent AI orchestration platform built with Go and Kubernetes for scalable, secure agent coordination in cloud-native environments.
  • Multi-agent orchestration with intelligent workload distribution and dynamic scaling.
  • Cloud-native architecture with Kubernetes deployment and horizontal auto-scaling.
  • Real-time coordination with sub-100ms agent communication using Go channels.
  • Enterprise security with zero-trust architecture, RBAC, and comprehensive audit trails.
  • Visual workflow engine with monitoring, observability, and API gateway integration.
  • Technologies: Go, Kubernetes, ArangoDB, gRPC, Prometheus, Grafana.
Verified expert

Tan Pham

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DevOps & Fullstack Engineer

Hanau
Tan Pham

Last position:

DevOps Engineer in the DevOps Team at Rise-World

  • Implementation of specified DevOps solutions to automate infrastructure (Terraform, Bicep, CloudFormation, Ansible) on-premises datacenter (Ovirt, Proxmox, Ceph Cluster, MinIO) and private cloud.
  • Administration, configuration and implementation of CI/CD DevOps pipelines (GitLab, GitFlow) to support development process (Artifactory, Prometheus, Istio, service mesh, Helm Chart, OpenShift (Red Hat Enterprise) / Kubernetes cluster), Red Hat Satellite.
  • Administration, setup, monitoring and patching of Linux infrastructure based on Red Hat Enterprise for Dev, Test and QA.
  • Use of Scrum and Kanban methods.
  • Administration, configuration and implementation of security standards for deploying on Dev, Test, QA and Prod stages of the new ePA applications.
  • Development of new plugins and add-ons needed on current infrastructure.
  • Database support.
  • Data analytics support (Python, Spark, Pandas, Power BI, Splunk Enterprise).
  • Implementation of best practices for DevSecOps and BizDevOps using GitOps (ArgoCD), Streamlit framework, Semaphore Ansible UI.
  • Configuration and testing of iperf, uperf, sysbench using benchmark-operator for external source data and IoT/MDM devices, creating reports via ELK / OpenSearch.
  • Building a new Databricks platform to collect and analyze big data from different sources and IoT devices into Hadoop framework (Python, Pandas, PySpark, Power BI, Apache Airflow).
  • Building backend data aggregation and processing to automate configuration deployment between different OpenShift clusters and big data framework (Python, Pandas, PySpark, Apache Spark, PostgreSQL, Django 2, Ansible Automation, Jira JSM).
  • Building a new ML pipeline platform using Kubeflow, TensorFlow, KServe.
  • Data extraction, transformation and loading from different data sources including structured and unstructured data to analytic DWH / big data cluster using Python, Pandas, Polars, Power BI, Django backend and PostgreSQL.
  • Setup of new DevOps Test and QA HashiCorp Vault cluster for PKI and IAM.
  • Configuration and testing of automated patching based on CVSS score, SIEM-integrated CVEs.
  • Use of Nexpose and InsightVM to scan vulnerability events in network, host, container and application.
  • Design and implementation of secure and scalable AWS architectures including VPC, EC2, S3, RDS and Route53 and similar setups on Azure and GCP.
  • Automated system provisioning and deployment using CloudFormation templates.
  • Configuration of IAM roles, policies and permissions to ensure secure access control.
  • Patch management, backup automation and disaster recovery setup on AWS infrastructure.
  • Monitoring and optimization of system performance using AWS CloudWatch and AWS Trusted Advisor.
  • Support of VMware services (vSphere, Aria, Horizon) and the virtual desktop environment.
  • Development and maintenance of CI/CD pipelines using Jenkins, GitLab CI/CD and AWS CodePipeline with interface to Nutanix.
  • Configuration of AWS CloudWatch to monitor application performance and system events.
  • Planning and execution of migration of on-premises applications to AWS cloud platforms.
  • Deployment of containerized applications using Docker and Kubernetes in AWS environments.
  • Deployment of internal software packages between availability zones using AWS CodeDeploy.
  • Building and deploying ML models using Scikit-learn, XGBoost and Spark MLlib including hyperparameter tuning, model evaluation and production deployment.
Verified expert

Markus Kollers

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Founder & Managing Director

Kelkheim (Taunus)
Markus Kollers

Last position:

Founder & Managing Director at Qrafto UG (haftungsbeschränkt)

  • Founding and overall responsibility: Built a B2B SaaS platform for craft and construction businesses from the first line of code to the live launch with the first paying customer; solo founding including full establishment of the company and all business processes.
  • Product and technology responsibility: Designed and developed the entire product.
  • Infrastructure & DevOps: Managed a Kubernetes/Helm environment including CI/CD, monitoring, and security architecture; GDPR-compliant platform decisions and evaluation of EU-hosted LLM providers.
  • Agentic coding as a productivity multiplier: Set up a productive multi-agent environment with Claude Code: up to eight parallel agents in isolated Git worktrees, Telegram-based remote control and monitoring, MCP integrations (e.g., Context7, Playwright for E2E tests), and a builder-critic pattern with custom slash commands (/research, /plan) and compressed project contexts. Result: development throughput on par with a small team while working solo.
  • Go-to-market: Independently developed positioning, SEO and direct mail playbook, as well as target group analysis.
  • Regulation & finance: Implemented e-invoicing requirements (ZUGFeRD/XRechnung), set up accounting and payment infrastructure, and managed funding and financing options.
Verified expert

Ulm Paunel

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Freelance IT Specialist

Steinbach (Taunus)
Ulm Paunel

Last position:

DataStage ETL Expert at ING Bank

  • Datastage 11.7, dbt, Oracle 19, Python 3.12 / PySpark 3.5, Azure GitHub, Azure DevOps, Automic
  • Development of migration jobs to transfer data from the collection DWH to the new Risk Mart, as well as development of ETL pipelines to migrate historical data from the old Mart to the new Risk Mart.
  • Storage of the silver layer on Hadoop and the gold layer in Oracle.
  • Translation of DataStage jobs into dbt to publish reporting data in Google Cloud to a PostgreSQL database.
  • Creation and optimization of complex SQL queries for data extraction from a data vault, taking into account historical data in the point-in-time tables.
  • Creation of Oracle table definitions (DDL) and adjustment of existing stored procedures.
  • Versioning changes in GitHub and deployment via the CI/CD portal.
  • Refactoring long-running DataStage jobs into Python using PySpark to reduce server load.
  • Migration of SAS scripts to PL/SQL, including new development of distribution functions that have no direct equivalent in Oracle.
  • Development of Automic jobs to run DataStage pipelines and Python scripts (PySpark jobs) that control the population of the SME and institutional risk tables in the Risk Mart and perform business calculations.
  • Participation in the agile process, including creating user stories, estimations, and planning in Azure DevOps.
  • Handling Azure DevOps tickets and close collaboration with testers and business teams for error analysis and resolution.
Verified expert

Werner Keil

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Test Coordinator, Designer and Engineer

Bad Homburg
Werner Keil

Last position:

Test Coordinator, Designer and Engineer at IBM

  • Testing the SekIDP and related components
  • Test design, execution and automation, microservices, GitHub Enterprise, Eclipse, Katalon Test Platform, API Testing, Confluence 8, JIRA/Xray, Draw.io, Swagger/OpenAPI, Postman, Docker, Kubernetes, Podman, PuTTY, E-Health, Telematik, Gematik standards, EPA, E-Rezept, sektoraler IDP, encryption, XaDES, PaDES, DICOM, HL7, FHIR, IHE, ICD, SSO, SAML/Shibboleth, OAuth, smartcards, JWT, two factor authentication Android and iOS, Wireshark, BrowserStack, Cypress, gRPC, REST, SOAP, WS-Security, Linux Shell, PowerShell, SSH/SSL, Java, Kotlin, Cordova, Gradle, Groovy, Python, TypeScript
Verified expert

Jochen Hinrichsen

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Managing Director

Eschborn
Jochen Hinrichsen

Last position:

DevSecOps Expert at DB InfraGO

  • Central build and delivery for 20+ applications, 100+ pipelines/day, 700+ GitLab projects
  • Build pipelines for Go, Java and JavaScript
  • Provisioning of 100+ components
  • Quality assurance via GitLab Code Quality and SonarQube
  • Checks for dependencies, licensing and vulnerabilities
  • Release creation via Jira and ServiceNow
  • SBOM, Supply Chain Security, distroless images
  • PoC GitLab Runner: Nomad vs. Kubernetes
  • Technologies: Artifactory, buildah, GitLab Premium, Go, Gradle, Jenkins, Mend, Podman
Verified expert

Delly Fofie

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Dad of 2 daughters

Dreieich
Delly Fofie

Last position:

Dad of 2 daughters at Family

Verified expert

Michael Yaco

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Senior Consultant, Senior DevOps Engineer

Offenbach am Main
Michael Yaco

Last position:

Senior Consultant, Senior DevOps Engineer at DB Regio AG

  • Supported implementation and operation of a portal used online and offline in customer-facing vehicles
  • Automated processes by introducing CI/CD pipelines
  • Provided enablement and methodological guidance for adopting software engineering best practices
  • System environment: NestJS, Node.js, npm, AWS, Docker, Docker Swarm, GitLab CI, WhiteSource, PostgreSQL, Prometheus, Grafana, OpenSearch, REST API
Verified expert

David Rihm

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Lead Developer/Technical Architect

Frankfurt am Main
David Rihm

Last position:

Lead Developer/Technical Architect

  • Design, extension, and implementation of interfaces (REST, GraphQL, Kafka)
  • Architecture and implementation of cloud-native microservices on Azure Kubernetes Service
  • Domain-Driven Design, Event-Driven Architecture with Kafka
  • Development of an extensive query engine for REST endpoints based on business objects
  • Design and implementation of master data classification using machine learning algorithms (Weka library, Spotify Voyager)
  • Analysis and evaluation of complex load test scenarios and derivation of optimizations
  • Increase in system resilience (Kafka error handling, circuit breaker, sidecar service mesh in Go)
  • Integration with CIAM systems (asynchronous real-time synchronization and definition of data ownership, authorization, authentication)
  • Connection to Azure ServiceBus (AMQP protocol)
  • Design and implementation of complex authorization concepts (including delegated administration)
  • Documentation of the results (Confluence, architecture descriptions, architecture decisions)
Verified expert

Dragos Andrei Serediuc

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QA Tech Lead

Frankfurt am Main
Dragos Andrei Serediuc

Last position:

QA Tech Lead at Thinksurance

  • Establishing and enforcing strong technical standards within and across teams
  • Define the required standard in line with overall strategy and communicate across respective technology teams
  • Understanding business and technical requirements and implemented (across teams) in an effective and timely manner
  • Mentoring (Junior/Mid) Quality Assurance engineers on their path towards seniority
  • Providing regular feedbacks and participate in technical interviews
  • Contribute to solution architecture proactively
  • Design, align, and create solutions for future features according to overall architecture concept and business requirements
  • Clarify and communicate decisions from system architects into respective teams
  • Challenge business requirements in workshops, refinements, and planning to come to the best possible solution
  • Drive QA solution delivery in and across the team
  • Support and drive the full QA process
  • Execute code reviews for critical tests and accompany their execution into CI/CD
  • Participate in running/monitoring and maintaining the application in production
  • Follow-up on critical bugs in production system
  • Help to debug and solve problems in a timely manner

Discover over 15,000 top freelancers

Statistics of experts using Go

Aggregated from the professional profiles of matched freelancers.

Experience

19 years

Position duration

2.4 years

Positions per freelancer

14

Top business areas

Information Technology, Product Development, Operations

Top industries

Information Technology, Banking and Finance, Healthcare

Certification focus areas

Information Technology, Project Management, Business Intelligence

Bachelor's degree or higher

92%

Master's degree or higher

46%

Certifications per freelancer

4

Most common languages

German, English, French

Speak two or more languages

100%

Based on our profile pool as of 30 Aug 2026.

About the technology

Go for services

Go is used to build backend services that need speed, simple deployment, and strong concurrency. Companies choose it for APIs, microservices, internal tools, and infrastructure software that must stay easy to run in production. In many teams it sits close to networking, data processing, and cloud systems.

Typical projects

  • API layers for web and mobile products
  • microservices and event-driven services
  • CLI tools and automation scripts
  • platform services for observability or deployment
  • integration work with databases, queues, and external APIs

The Go stack

Strong Go specialists know the standard library well and use it with frameworks like Gin, Echo, or Fiber when a project needs structure. They also work with gRPC, PostgreSQL, Redis, Docker, and Kubernetes. In modern teams, Golang work often includes clean module design, testing, and release tooling.

When companies need help

Companies bring in freelance Go experts when a service must be delivered quickly, a team needs extra hands on a backend rewrite, or an older system needs to be stabilized. They are also useful for code reviews, performance tuning, and building a first version that can grow without heavy rework. Frankfurt teams often use them for work that touches finance, logistics, and cloud operations.

What strong experts do

Strong professionals write clear code, keep dependencies tight, and design services that are easy to test and maintain. They pay attention to context handling, error paths, concurrency, and observability. Good Go work is simple, predictable, and ready for production.

Hiring in Frankfurt

For Frankfurt projects, language and collaboration style matter as much as code quality. Many teams want Go specialists who can work smoothly with product, infrastructure, and security stakeholders, whether the setup is remote or partly on-site. The best matches understand how to deliver in a fast-moving business environment.

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Frequently asked questions

Quick answers to the questions that come up most around Go.

Go is mainly used for backend services, APIs, microservices, and cloud tooling. It is a strong fit when a team needs concurrency, simple deployment, and code that stays readable over time. Many companies also use it for CLI tools, automation, and network services.

Go and Golang refer to the same language. Go is the official name, while Golang is a common search term that came from the old website name. In hiring, people often use both terms when looking for specialists.

Go is often chosen when performance, low overhead, and easy deployment matter more than a large framework stack. Compared with Java, it usually feels lighter and more direct. Compared with Python, it is often better suited to high-concurrency services and infrastructure code.

A strong Go specialist usually knows HTTP APIs, testing, Docker, and one or more databases such as PostgreSQL or MySQL. For modern systems, Kubernetes, gRPC, Redis, and message queues are common additions. Good understanding of observability and cloud operations is also valuable.

A simple Go service can often be handled by a specialist who is comfortable with the language, tests, and basic API design. More complex work, such as distributed systems, high-throughput services, or a rewrite of critical infrastructure, benefits from deeper production experience. The real need depends on stability, scale, and how much architecture work is involved.

Yes, Go work is often a good fit for remote collaboration because the codebase is usually compact and the interfaces are clear. Frankfurt teams may still want some on-site time for planning, security reviews, or stakeholder workshops. The best setup depends on how closely the specialist needs to work with product and infrastructure teams.

Look for Go work that is easy to test, clear to read, and careful with errors and context handling. Good specialists explain trade-offs, keep dependencies minimal, and know when a simple design is better than a clever one. Past work on production services, tooling, or platform components is a strong signal.

Go is not always the best choice for highly dynamic scripting tasks or product areas that depend heavily on rich built-in frameworks. It is strongest when the goal is reliable services, automation, or infrastructure code. If a project needs a large amount of rapid UI experimentation, another stack may be more practical.

Of the freelancers in Frankfurt, Germany who have used Go in their recent projects, 92% hold at least a Bachelor's degree and 46% hold at least a Master's degree.

On average, freelancers in Frankfurt, Germany who have used Go in their recent projects have 19 years of professional experience, with a single engagement typically lasting around 2.4 years.

The most common languages among freelancers in Frankfurt, Germany who have used Go in their recent projects are German (100%), English (100%), and French (29%).

The most common industries among freelancers in Frankfurt, Germany who have used Go in their recent projects are Information Technology (100%), Banking and Finance (71%), and Healthcare (43%).

The most common business areas among freelancers in Frankfurt, Germany who have used Go in their recent projects are Information Technology (100%), Product Development (79%), and Operations (64%).

Main locations of FRATCH Experts, who have recently used Go

Our freelancers and interim experts are at home across the DACH region — available on-site in the major business hubs or fully remote. Choose a location to discover matched specialists, local market insights and up-to-date availability.

Berlin Hamburg Munich Cologne Frankfurt Stuttgart Dusseldorf Leipzig Dortmund Essen Bremen Dresden Hanover Nuremberg

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Philipp Thomaschewski

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